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08/07/2026 6:56 pm
TL;DR: Raw logs without enrichment slow analysts, raise MTTD and MTTR, and force manual swivel-chair triage, according to Gurucul’s analysis of native SIEM context. Contextual identity, geo-location, user-agent, and threat-intel enrichment turns isolated events into higher-fidelity detections and faster investigations.
NHIMG editorial — based on content published by Gurucul: Raw Logs Don’t Stop Breaches. Context Does: Why Your SIEM Needs a Transformation
By the numbers:
- The IP was flagged 48 hours ago as a known Cobalt Strike Command and Control node.
Questions worth separating out
Q: How should security teams reduce SIEM noise without losing important alerts?
A: Focus on context, not volume.
Q: Why do raw logs create problems for identity and access investigations?
A: Raw logs show that an action occurred, but they rarely show whether the actor was expected, whether the location was normal, or whether the source had a known threat reputation.
Q: How do teams know if SIEM enrichment is actually working?
A: Look for fewer low-value alerts, faster time to triage, and a smaller need for analysts to pivot into external tools.
Practitioner guidance
- Move enrichment into the detection pipeline Ensure identity, geo-location, device, and threat reputation are applied before analysts see the alert so triage begins with context rather than raw telemetry.
- Bind alerts to authoritative identity state Correlate log events with HR, IAM, and session data so access from PTO users, dormant accounts, or unexpected locations is automatically weighted higher.
- Prioritise native lookups over swivel-chair investigations Embed reputation checks for IPs, domains, and hashes directly inside the investigation workflow so analysts do not have to pivot across external tools to confirm basic risk.
What's in the full article
Gurucul's full blog covers the operational detail this post intentionally leaves for the source:
- Native enrichment configuration examples for geo-location, identity, and user-agent parsing
- The full alert flow showing how the platform turns a simple login into a high-fidelity incident view
- Workflow details for on-demand intelligence lookups inside the investigation experience
- SOC outcome examples that connect enrichment to reduced MTTD, MTTR, and false positives
👉 Read Gurucul's analysis of native SIEM enrichment for faster, higher-fidelity triage →
SIEM context gap: what raw logs are still missing for SOC teams?
Explore further
08/07/2026 7:18 pm
Raw telemetry is not a control, it is an input. Security programmes that treat log volume as maturity are confusing collection with decision quality. The article shows why a SIEM still needs context layers for identity, reputation, and behavioural interpretation before it can support real response decisions. The practitioner takeaway is that detection architecture must be judged by decision usefulness, not ingestion scale.
A few things that frame the scale:
- 72% of organisations have experienced or suspect they have experienced a breach of non-human identities, according to The 2024 ESG Report: Managing Non-Human Identities.
- Another finding from the same research shows that two-thirds of enterprises have endured a successful cyberattack resulting from compromised non-human identities, with a quarter encountering multiple attacks.
A question worth separating out:
Q: What is the difference between raw log collection and contextual security analytics?
A: Raw log collection records events. Contextual security analytics combines those events with identity, reputation, geo-location, and behavioural data so the SOC can score risk and investigate faster. The difference is not more data, but more decision-ready data.
👉 Read our full editorial: Raw logs need context to reduce SIEM noise and response delay
